class_docstr: Strategy for training with multiple processes in parallel.
code: def teardown(self) -> None:
      assert self.cluster_environment is not None
      self.cluster_environment.teardown()
      super().teardown()
  
imports: from abc import ABC, abstractmethod
  from contextlib import contextmanager
  from typing import Any, Dict, Generator, List, Optional
  import torch
  from torch import Tensor
  from typing_extensions import override
  import lightning.pytorch
  from lightning.fabric.plugins import CheckpointIO, ClusterEnvironment
  from lightning.fabric.utilities.distributed import ReduceOp, _all_gather_ddp_if_available
  from lightning.pytorch.plugins import LayerSync
  from lightning.pytorch.plugins.precision import Precision
  from lightning.pytorch.strategies.strategy import Strategy
label_desc: Use image node_id 14 for calling the ParallelStrategy obj's underlying member method code with example usage: obj.teardown() without return types